A simple and novel algorithm for automatic selection of ROI for dental radiograph segmentation

Automatic segmenting teeth in X-ray images: Trends, a novel data set, benchmarking and future perspectives

“…The goal of the region-based method is to divide an image into regions, based on discontinuities in pixel intensity levels. Among the relevant articles selected, only Lurie et al (2012) and Modi and Desai (2011) used the region-based segmentation. The aim of the study in (Lurie et al, 2012) was to segment panoramic X-ray images of the teeth to assist the Dentist in procedures for detection of osteopenia and osteoporosis.…”

Dental R-Ray Image Segmentation Using Texture Recognition

“…Conforme a Tabela I, a metodologia proposta obteve a média de percentagem de erro em 18,17 %. Os estudos apresentados em [4] e [16] propõe uma segmentação automática para radiografias dentárias que obtém taxas de erro menores, respectivamente de 2,12% e 17%. Contudo, as radiografias utilizadas nestes estudos são do tipo bitewing and periapical, apresentando, portanto padrões de texturas bem distintos daqueles tratados no presente trabalho.…”

A novel breast ultrasound system for providing coronal images: System development and feasibility study

“…To allow efficient compression for data storage, Ye et al proposed an automatic method which identified ROI according to the edge information in high frequency sub-bands [49]. To segment dental X-ray images, Modi et al presented an algorithm using region growing approach and Canny edge detector to automatically detect ROI [50]. It was also demonstrated that automated ROI selection was used in breast MRI images.…”